Data Analyst

• Own Foley's enterprise data model
• Drive the medallion architecture from a product definition perspective
• Own Silver and Gold layer data definitions
• Prioritize the engineering backlog in partnership with the VP of Engineering
• Be the primary data platform partner for business stakeholders
• Own stakeholder communication
• Maintain a weekly touchpoint with the AI Value Creation Office
• Own delivery against quarterly KRs
• Own the product roadmap for Foley's intelligence self-service platform
• Own the API layer as a product
• Define and maintain the metric layer
• Partner with the data analyst and engineering to enable self-service intelligence
• Drive platform adoption and capability enablement across the organization
• Own the capabilities and paved paths backlog

Staff Product Manager, Data & Analytics

• Own the end-to-end analytics stack for the Revenue team, defining what data we need, how it connects, and how it surfaces as a single source of truth across demand signals, inventory health, sell-through, and seller GMV opportunity.
• Translate search acceleration, save behavior, sell-through rates, and category liquidity into a live picture of platform health. Identify where supply is failing to meet demand and build the framework that matches buyer intent to seller opportunity.
• Build continuous systems that surface which trends are accelerating, where supply gaps are forming, and where early sourcing is needed, packaging these into actionable briefs that let Supply Partnerships and Merchandising move before a GMV window closes.
• Build operational dashboards for the CRO and Revenue leadership that answer specific business questions daily, and own their ongoing quality, accuracy, and evolution.
• Integrate GenAI tools into daily workflows to accelerate output, and architect toward a Revenue Intelligence Platform where demand sensing, campaign performance, and seller opportunity are surfaced automatically and continuously.
• Serve as the analytical backbone for Merchandising, Growth, Supply Partnerships, and Product. Partner with Data Engineering to productionize frameworks. Hire, mentor, and grow a team of analysts and promote a data-driven culture across the Revenue org.

Director, Data Analytics

• Partner directly with Tax leadership to re-engineer core tax processes into automated, AI-first workflows
• Design and deploy agentic tools that reduce manual data gathering
• Build a unified data and knowledge layer that serves as a single source of truth for all tax-relevant information
• Own semantic layers end-to-end — model design, versioning strategy, verified query coverage, and accuracy iteration
• Automate tax filings, data reconciliation, and audit-ready reporting
• Push back on shortcuts that create maintenance debt and improve shared infrastructure

Senior / Staff Analyst, Tax – Finance Analytics & AI

• Independently lead cross-functional teams through ambiguous questions to influence and implement revenue driving initiatives and recommendations.
• Own and identify innovative new strategies to maximize revenue and enhance client acquisition throughout the entire revenue waterfall.
• Lead the charge in improving our quantitative analysis techniques (simulation models, A/B testing, causal impact analysis, etc.) to better influence audiences on strategic direction.
• Own, refine, and improve existing data pipelines to harness the power of data analytics, defining data structures, and leveraging advanced tracking methodologies to uncover revenue opportunities.
• Develop junior members of the team in terms of analytical thinking and excellence.
• Leading the charge for how to embed AI into the Revenue Analytics workflow, raising the floor on what the team can produce. You'll have latitude to experiment and the expectation that you will.

Lead Data Scientist, Revenue Analytics

• Transform complex business data into meaningful insights that support strategic decision-making across the Credit Union.
• Partner with business leaders to develop enterprise reporting solutions and identify trends and opportunities.
• Deliver data-driven recommendations to improve operational performance and enhance the member experience.
• Design, develop, and maintain enterprise Tableau dashboards, executive scorecards, and performance indicator (KPI) reporting.
• Analyze large volumes of financial, operational, lending, and member data to identify trends and actionable business insights.
• Present analytical findings through professional visualizations and executive-level presentations that facilitate informed decision-making.
• Promote best practices related to data quality, reporting standards, and documentation.

Data Analyst II

• Own the end-to-end product analytics strategy for a large-scale consumer mobile application.
• Partner closely with Product, Engineering, Marketing, and Executive Leadership to drive key business decisions.
• Analyze user behavior across the customer lifecycle, including onboarding, activation, engagement, retention, and monetization.
• Develop dashboards, reporting frameworks, and actionable insights that influence product roadmap and business strategy.
• Lead experimentation efforts, A/B testing, cohort analysis, and conversion funnel optimization.
• Define and monitor key subscription metrics including trial conversion, trial-to-paid conversion, renewal rates, LTV, retention, and user segmentation.
• Work with mobile user acquisition teams to evaluate attribution performance across AppsFlyer, Adjust, SKAdNetwork (SKAN), and other measurement platforms.
• Leverage AI/LLM tools to improve analytics workflows and business insights.
• Lead and mentor a small team while remaining hands-on with SQL and data analysis.

Head of Data Analytics – Consumer Mobile App

• Define, build, and maintain the Looker dashboards that track funnel conversion and key product KPIs across product lines, so every team shares one trusted view of performance.
• Investigate user behavior across the full journey (invite → onboarding → active usage → conversion) to explain why metrics move and where the biggest opportunities hide.
• Design and analyze A/B tests that are statistically sound and trusted for business decisions, partnering with product and marketing to raise conversion across our buyflows.
• Build and maintain dbt models in Snowflake that power self-serve analytics and keep metric definitions consistent and reliable.
• Size opportunities and quantify the impact of launches so product teams invest in the highest-leverage work.
• Own recurring performance reporting for key enterprise partners, in collaboration with customer success.
• Monitor product health, help spot anomalies before they hit the business, and answer high-stakes questions with fast, rigorous analysis.

Lead Data Analyst, Product Analytics

• Define and own the product strategy for entitlements, spend controls, alerting, and usage analytics — turning a fast-converging, ambiguous space into a clear plan with the right customer outcomes and business impact
• Lead product discovery: talk to customers constantly, learn how they actually govern spend and access, and translate that into what the team builds
• Identify the smallest possible unit of value for the team to ship, and drive it through discovery, in-flight work, and launch
• Shape the strategic questions that define the domain — how far entitlements stand on their own, where real-time enforcement matters most, what customers will build their most critical spend and access logic on top of
• Build strong partnerships with engineering and design, bringing them into discovery early so user and business implications surface before the plan is set
• Context-switch fluidly across bugs, discovery, in-flight work, and launch planning
• Lay the groundwork for product practices and processes so the team can define and deliver its highest-impact work as it grows

Lead Product Manager, Real Time Analytics

• Design, develop, and maintain enterprise-wide HR reports and dashboards using Workday Report Writer, Calculated Fields, Matrix/Advanced Reports, Discovery Boards, Worksheets, and scheduling
• Deliver executive-ready reports, dashboards, and presentations — translating complex workforce data into clear, concise, and immediately actionable insights
• Triage incoming reporting requests; assess requirements, scope, and prioritization; consult with stakeholders to connect data to business decisions and align on the highest-value work
• Serve as the SME for all HR reporting used internally and externally, including executive, regulatory, and operational audiences; partner with consultants on annual government filings (EEO-1 etc.)
• Champion data governance, data quality, and data accuracy; maintain the HR data dictionary and enforce standardized definitions, field usage, and calculation logic
• Perform regular reporting audits and monitor data quality across sources; proactively identify and resolve issues affecting accuracy, compliance, or user experience
• Ensure report security is maintained; navigate Workday security domains and confirm users have appropriate access consistent with data privacy requirements
• Collaborate with HRIS and IT peers on governance, security, and continuous improvement of reporting infrastructure
• Partner with the HRIS leader and Data Analytics team to develop an AI-informed HR reporting strategy — leveraging tools like Claude and MCP integrations with Workday and Adaptive to build efficient, reusable reporting workflows
• Manage and expand the organization's use of Lightdash for HR dashboard development and self-service analytics
• Evaluate the need for third-party people analytics platforms and, if adopted, own the full implementation lifecycle — requirements, data mapping, UAT, validation, and end-user enablement
• Review Workday system upgrades and releases; assess impact, conduct testing, and recommend enhancements; proactively research emerging tooling to identify adoption opportunities

Senior HR Reporting & Analytics Manager

• Translate data into decision-ready insights — synthesize consumer, category, competitor, and macro-trend data into clear "so-what" implications that pressure-test the Wellbeing strategy.
• Build the analytical backbone for category strategy, portfolio choices, and M&A thesis work — market sizing, share/penetration, white-space, growth drivers, consumer segmentation, early signal detection, and leading indicator tracking
• Help build and scale a repeatable growth intelligence capability – mapping priority data sources, defining “metrics that matter”, pressure-testing early signals, and translating emerging insights into actionable brand, category, innovation, and M&A workstreams.
• Run structured problem solving on defined modules of strategic initiatives (e.g., category deep-dives, competitor teardowns, target screens), owning workplan, analysis, and first-draft recommendation.
• Develop board- and C-suite-ready materials — turning raw analysis into crisp slides, narratives, and one-pagers that equip senior executives for critical engagements.
• Be the team's data whiz and CMI partner — fluently using Circana, Stackline, Numerator Panel, Euromonitor, social listening, and primary research (qual + quant) to bring the consumer voice into every question.
• Pioneer trend and foresight inputs (GLP-1, science-backed claims, omnichannel discovery, AI-enabled routines, etc.) into a forward-looking view the team can act on, including M&A target screening, brand/category assessments, and competitive benchmarks across the M&A funnel.
• Run the PMO for strategic projects — M&A due diligence and AOP — owning master workplan & calendar, weekly cross-functional connects, status reporting, milestone tracking, and senior-stakeholder decks.

Strategy and Analytics Associate Manager

• Conduct systematic literature reviews to inform program evaluation and analyses
• Conduct rapid-cycle evaluations and analytics to understand the impact of OCHIN initiatives (e.g., OCHIN’s Release Program, Builder Program, Credentialing Services, OCHIN’s Health Center Controlled Network (HCCN), Preferred Technology Partners)
• Conduct projects that elevate the needs of internal and external stakeholders to improve their experience
• Communicate and partner with subject matter experts in order to design, develop, and execute evaluation plans
• Collect, validate, analyze, and interpret quantitative and qualitative data-based findings towards refinement of program efforts and determination of evidence-base for program interventions
• Establish an evaluation framework and identify tools that can be applied to evaluation and analytics projects to support OCHIN’s ability to disseminate learnings
• Establish and implement equity, justice, and data de-colonization frameworks that can be applied to data analytics projects on the Evaluation and Analytics Team
• Analyze and process data sets utilizing advanced querying, visualization, and analytics tools
• Build, maintain, and continuously seek opportunities to improve systems and processes for assigned data collection, analysis, and reporting (e.g., program evaluations, HCCN activities, other assigned projects)
• Manage multiple evaluation and analysis projects simultaneously to help OCHIN improve our products and services
• Generate high quality, readily interpretable deliverables (e.g., data tables, graphs, charts, study reports, dashboards) and package findings for executive level stakeholders
• Assist OCHIN in obtaining and using data to drive distinction, advance OCHIN’s strategic priorities, and improve outcomes
• Build and maintain relationships with internal and external stakeholders
• Work and communicate across disciplines and OCHIN teams
• Actively participate in internal OCHIN cross-departmental project teams as needed (e.g. Research, Clinical)

Program Evaluation, Data Analyst

• This position plays a critical role in advancing IH&S’s finance data transformation initiatives by focusing on developing and maintaining Power BI dashboards, enabling standardized financial reporting, and translating complex financial and operational data into clear, decision-ready insights.
• Building data models and creating processes for monthly, quarterly, and annual financial reporting cycles, ensuring accuracy, consistency, and timeliness of data.
• Analyze financial and operational data to identify ways to capture and report on trends, variances, risks, and opportunities, and present findings to finance leadership.
• Partner with Finance, Accounting, Commercial, IT, and Operations teams to ensure data consistency, and alignment between the tools (dashboards/reports) used for financial reporting and to monitor business performance drivers.
• Maintain and prioritize reporting and analytics backlogs leveraging the Agile framework.
• Support executive-level reporting by creating clear, concise, and visually compelling dashboards and summaries.
• Contribute to finance and business transformation initiatives, including automation of reporting processes and improvement of data accessibility and usability.
• Support various workflows by developing financial KPI calculation logic, creating PBI visuals for leadership consumption.
• Support standardized reporting frameworks and ongoing transformation initiatives related to forecasting, reporting standardization, and data governance.

Data Analyst, Finance

• Build and deploy scalable ML/AI and optimization models to enhance demand forecasting, optimize capacity allocation, and develop user-specific feature engineering for real-time cloud gaming services.
• Develop reusable framework deployments for data ingestion, processing, and analysis to support dynamic user interventions for targeted business outcomes.
• Acquire and apply domain knowledge of the product and software stack to identify and drive the resolution of data inconsistencies and improve model performance, especially in the context of optimization outcomes.
• Identify, analyze, and interpret trends or patterns in complex data sets using supervised and unsupervised learning techniques, informing prescriptive solutions.
• Design and implement improvements to real-time prescriptive scheduling pipelines, using techniques like linear programming and constraint optimization, to enhance capacity utilization and user retention.
• Improve productivity of the organization by mining petabytes of data for actionable insights for business and engineering, often through prescriptive recommendations.
• Collaborate with a variety of partners to understand requirements, design robust solutions, and guide the team to deliver impactful results.
• Leverage agentic AI to deliver best-in-class automation and programming solutions for complex analytical problems.

Senior Data Scientist, Cloud Gaming – Prescriptive Analytics and Optimization

• Identify the drivers behind merchant retention, churn, and software adoption.
• Build trusted metrics, dashboards, and analyses used by executives and cross-functional leaders.
• Partner with Product, Customer Success, Finance, Sales, and Engineering to turn insights into action.
• Create scalable reporting, data models, and AI-powered workflows that reduce manual work and improve decision making.
• Measure the impact of retention initiatives so we invest in what works.

Senior Data Analyst, Retention, SaaS Analytics

• Own the analysis that informs marketing programs
• Measure and evaluate marketing performance and support demand generation
• Develop and maintain measurement plans with benchmarks for campaigns
• Monitor performance and develop insights for optimizations
• Own and improve marketing data systems and reporting
• Manage list segmentation and scoring for targeted messaging
• Oversee marketing side of lead management processes
• Identify and document scalable processes for marketing effectiveness

Marketing Operations and Analytics Program Manager

• Providing day-to-day support of the PLM tool and product community, ensure consistency of material master data fields in PLM with other business management systems, validate product data, BOMs, Operations and Financial Planning requirements, collaborate with PLM vendor support team and monitor and review system performance.
• Ensure the Propel PLM system is seamlessly integrated into our operations, supporting product, engineering, manufacturing, and supply chain processes.
• Maintain the PLM system's performance, security, and reliability as the system of record for all products.
• Ensure the accuracy, consistency, and security of PLM data across all platforms.
• Develop and implement data management practices to improve data quality and accessibility.
• Tailor the PLM system to meet operational needs, implementing workflows, user roles, and data structures that support our rapidly evolving manufacturing and engineering processes.
• Work closely with the Operations, Engineering, Business Technology and Product teams to ensure the PLM system enhances our operational capabilities and supports cross-functional initiatives.
• Equip operational teams with the necessary training and support to utilize the PLM system fully, enhancing user adoption and system utility.
• Drive continuous improvement by analyzing system usage, gathering feedback from operational teams, and implementing enhancements to support evolving business needs.
• Lead PLM-related projects within the Operations team, managing timelines, resources, and deliverables to achieve project objectives.
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

PLM Data Analyst

• Define and execute the strategic roadmap for our data foundation, prioritizing investments that drive measurable business impact.
• Standardize and govern core operating and clinical metrics, maintaining the central dashboards and reporting systems used to run the company.
• Partner with Engineering to build a unified, highly reliable data model aligned with our complex operational workflows.
• Identify critical bottlenecks and shift the organization from reactive reporting to proactive, root-cause decision-making.
• Collaborate with leadership across Product, Operations, and Clinical teams to translate ambiguous business problems into actionable data strategies.
• Apply AI tools to accelerate analytics productivity and establish the data layer required for future AI and machine learning capabilities.
• Recruit, mentor, and establish high standards of technical rigor for a growing, high-performing analytics team.
• Lead by example by actively contributing to complex SQL analysis, data modeling, metric design, and strategic investigations.

Senior Manager, Data & Analytics

• Apply quantitative methods and techniques to manage, analyze, and interpret research data.
• Construct, clean, and document large datasets for both internal use and project-specific needs.
• Create customized, presentation-quality reports based on data analysis results.
• Contribute to the design and methodology of research studies.
• Manage administrative components of projects to ensure smooth execution.
• Assist in the preparation of technical procedures, documentation, and reports.
• Write, compile, and edit assigned sections of proposals and project deliverables.
• Review work products to ensure accuracy, clarity, and consistency of content.

Medicaid and Prescription Drug Data Analyst

• Support Cost Managers in maintaining accurate and consistent cost data structures across multiple active projects.
• Aggregate, clean, and analyze project cost data to support forecasting, reporting, and decision-making.
• Prepare corporate reporting materials, including dashboards, presentations, and executive summaries for senior leadership.
• Conduct benchmarking analysis by comparing cost and schedule data across projects, regions, and scopes to identify trends, variances, and key drivers.
• Assist in establishing and maintaining cost baselines and unit rate libraries for key data center construction components (e.g., MEP systems, structural, and site work).
• Collaborate with cross-functional teams to ensure data accuracy, consistency, and alignment with project and corporate standards.
• Support development of data visualization tools and dashboards to enhance transparency and usability of cost data.
• Validate and reconcile data from multiple sources, ensuring integrity and reliability of reporting outputs.
• Assist with ad hoc analysis and reporting requests from project teams and senior leadership.
• Effectively communicate insights, trends, and recommendations to both technical and non-technical stakeholders.
• Conduct all work with a high level of integrity and attention to detail, ensuring confidentiality and accuracy of sensitive financial data.

Data Analyst – DC Project Controls

• Partner with the Director to shape paid creative strategy and own the testing roadmap; translate performance insights into clear briefs and iterate on winning concepts
• Support the Director in overseeing agency execution by monitoring pacing, targeting, and performance; surface insights and optimization recommendations
• Partner with Data & Analytics to conduct deep dives across creative, audience, and channel performance, identifying efficiency gains to improve ROAS and CAC
• Execute small-scale, in-platform pilots (e.g., new formats, betas, or audiences) to validate opportunities before broader rollout
• Monitor asset performance and fatigue, providing data-backed feedback to inform refresh cycles and future production priorities
• Align with DTC, Brand, and Creative teams to ensure paid media supports broader campaigns, launches, and promotional priorities
• Maintain performance dashboards and synthesize agency reporting into clear, actionable insights for the Director and leadership
• Support oversight of upper-funnel channels (e.g., OLV, OOH, podcast), synthesizing performance insights and identifying opportunities to improve effectiveness and cross-channel alignment

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